build(deps-dev): bump torchmetrics from 1.6.1 to 1.7.1 in /runtimes/mlflow

[dependabot]

Bumps torchmetrics from 1.6.1 to 1.7.1.

Release notes

Sourced from torchmetrics's releases.

Minor patch release

[1.7.1] - 2025-04-06

Changed

• Enhance Support Adding a MetricCollection to Another MetricCollection in add_metrics Function (#3032)

Fixed

• Fixed absent class MeanIOU (#2892)
• Fixed detection IoU ignores predictions without ground truth (#3025)
• Fixed error raised in MulticlassAccuracy when top_k>1 (#3039)

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Key Contributors

@​Isalia20, @​rittik9, @​SkafteNicki

If we forgot someone due to not matching commit email with GitHub account, let us know :]

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Full Changelog: Lightning-AI/torchmetrics@v1.7.0...v1.7.1

More image metrics

The upcoming release of TorchMetrics is set to deliver a range of innovative features and enhancements across multiple domains, further solidifying its position as a leading tool for machine learning metrics. In the image domain, significant additions include the ARNIQA and DeepImageStructureAndTextureSimilarity metrics, which provide new insights into image quality and similarity. Additionally, the CLIPScore metric now supports more models and processors, expanding its versatility in image-text alignment tasks.

Beyond image analysis, the regression package welcomes the JensenShannonDivergence metric, offering a powerful tool for comparing probability distributions. The clustering package also sees a notable update with the introduction of the ClusterAccuracy metric, which helps evaluate the performance of clustering algorithms more effectively.

In the realm of classification, the Equal Error Rate (EER) metric has been added, providing a crucial measure for assessing the performance of classification models, particularly in scenarios where false positives and false negatives have different costs. Furthermore, the MeanAveragePrecision metric now includes a functional interface, enhancing its usability and flexibility for users.

These updates collectively enhance the capabilities of TorchMetrics, making it an even more comprehensive and indispensable resource for machine learning practitioners and researchers.

[1.7.0] - 2025-03-20

Added

• Additions to image domain:
  • Added ARNIQA metric (#2953)
  • Added DeepImageStructureAndTextureSimilarity (#2993)
  • Added support for more models and processors in CLIPScore (#2978)
• Added JensenShannonDivergence metric to regression package (#2992)
• Added ClusterAccuracy metric to cluster package (#2777)
• Added Equal Error Rate (EER) to classification package (#3013)
• Added functional interface to MeanAveragePrecision metric (#3011)

Changed

• Making num_classes optional for one-hot inputs in MeanIoU (#3012)

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.7.1] - 2025-04-06

Changed

• Enhance Support Adding a MetricCollection to Another MetricCollection in add_metrics Function (#3032)

Fixed

• Fixed absent class MeanIOU (#2892)
• Fixed detection IoU ignores predictions without ground truth (#3025)
• Fixed error raised in MulticlassAccuracy when top_k>1 (#3039)

[1.7.0] - 2025-03-20

Added

• Additions to image domain:
  • Added ARNIQA metric (#2953)
  • Added DeepImageStructureAndTextureSimilarity (#2993)
  • Added support for more models and processors in CLIPScore (#2978)
• Added JensenShannonDivergence metric to regression package (#2992)
• Added ClusterAccuracy metric to cluster package (#2777)
• Added Equal Error Rate (EER) to classification package (#3013)
• Added functional interface to MeanAveragePrecision metric (#3011)

Changed

• Making num_classes optional for one-hot inputs in MeanIoU (#3012)

Removed

• Removed Dice from classification (#3017)

Fixed

• Fixed edge case in integration between class-wise wrapper and metric tracker (#3008)
• Fixed IndexError in MultiClassAccuracy when using top_k with single sample (#3021)

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[1.6.3] - 2024-03-13

Fixed

• Fixed logic in how metric states referencing is handled in MetricCollection (#2990)
• Fixed integration between class-wise wrapper and metric tracker (#3004)

[1.6.2] - 2024-02-28

... (truncated)

Commits

• 41aaba3 releasing 1.7.1
• 64eaa26 docs: fix link to MultiScaleSSIM (pub) (#3045)
• 8ff9851 Bugfix in top_k (#3039)
• f1c4020 build(deps): bump Lightning-AI/utilities from 0.13.1 to 0.14.2 (#3038)
• b254b62 Improve testing of wrappers (#3040)
• 31722d4 build(deps): update coverage requirement from ==7.7.* to ==7.8.* in /requirem...
• ec5fe16 build(deps): update huggingface-hub requirement from <0.30 to <0.31 in /requi...
• 36122c6 Enhance Support Adding a MetricCollection to Another MetricCollection in ...
• 44543b2 Absent class miou fix (#2892)
• 8dc3f78 fix Detection IoU ignores predictions without ground truth (#3025)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #2171.